Dergiler / International Advanced Researches and Engineering Journal / 2021 / Cilt: 5 - Sayı: 3

Empirical and theoretical analysis of a modified isochronal test in a caspian region gas reservoir

Sayfa
379–386
Yayın Tarihi
2022-10-19
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The permeability was calculated as 3.42 md, which is in line with the log permeability of 3.70 md and core permeability of 3.40 md.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:A deliverability test performed in a gas well is one of the fundamental steps to determine the flow potential of the wells in reservoir surveillance.
📊
Temel Bulgular & Veri:The validation of the permeability with log and core data increases the confidence level of the work done.
💡
Sonuç & Katkı:The permeability was calculated as 3.42 md, which is in line with the log permeability of 3.70 md and core permeability of 3.40 md.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Absolute Open Flow Potential · Gas Well Testing · Modified Iscochronal Test

Abstract

A deliverability test performed in a gas well is one of the fundamental steps to determine the flow potential of the wells in reservoir surveillance. Dynamic reservoir models need robust AOF (Absolute Open Flow), productivity index, permeability for calibration, history matching, and predictions. In this study, a gas well in a Pliocene sandstone gas reservoir was validated using the “Modified Isochronal Testing” method. This study aims to mitigate the efforts done to estimate the phenomenon of flow potential of the gas wells. Hence, the field development activities can be leveraged to a more efficient stage technically and economically. In this study, AOF, Productivity Index (PI), and the permeability of the tested interval were calculated. The validation of the permeability with log and core data increases the confidence level of the work done. AOF is the key performance indicator to define the gas well productivity at zero sand face pressure which is a measure of ranking the production potential of gas wells. The AOF values support the determination of the number of wells to be drilled and the design of the surface facilities. In this study, pressure and time data were obtained and they were analyzed by empirical and theoretical methods. These two methods used in analysis gave very close AOF values; 10.15MMSCF/D (empirical) and10.67 MMSCF/D (theoretical), respectively. The permeability was calculated as 3.42 md, which is in line with the log permeability of 3.70 md and core permeability of 3.40 md.

🔖

Bu Makaleye Atıf Yap

İşçan, A. G. (2022). Empirical and theoretical analysis of a modified isochronal test in a caspian region gas reservoir. International Advanced Researches and Engineering Journal, Cilt: 5 - Sayı: 3, 379–386. https://ajindex.com/articles/539319

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (15)

  1. Brown, K., The Technology of Artificial Lift Methods. 1984, USA: PennWell Publiching Company
  2. Lee, J., Well Testing. 1982, USA: SPE AIME
  3. Lee, J., Rollins, J.B. and Spivey, J.P., Pressure Transient Testing. 2003, Richardson TX USA: SPE Textbook Series
  4. Lee, J. and Wattenberger, R., Gas Reservoir Engineering. 1996, Richardson TX, USA: Henry L. Doherty Memorial Fund of AIME
  5. Xi, F., X.Peng, Q. Li, X. Zhao, P. Zhang, and D. Pan, A new method for evaluating the unstable deliverability of gas wells in gas formation testing phase. Natural Gas Industry B, 2020. 7(6): p. 614-623
  6. Shoaib,M., D.Viberti, S.B.Eloisa, and F.Verga, Harmonic pulse testing for gas well deliverability Assessment. Geoingegneria Ambientale e Mineraria, 2019. 158(3): p. 53-60
  7. Mohamd,I.S. and S.K.,Fatooh,Gas wells deliverability determination using flow after-flow test analysis. Journal of Applied Science, 2020. 4: p.26-43
  8. Jiang,L., C.Xiancaho, G. Ping, and Z. Jingchao,Tight carbonate gas well deliverability evaluation and reasonable production proration analysis.J Petrol Explor Prod Technol., 2021. 11: p.2999-3009
  9. Sergeev,V.L.,N.T.Phuonget,andA.I.Krainov, Adaptive interpretation of gas well deliverability tests with generating data of the IPR curve. J. Phys.,2017.: Conf. Ser. 803 (012136): p.1-6
  10. Aziz, K., Theoretical basis of ısochronal and modified ısochronal back-pressure testing of gas wells. Journal of Canadian Petroleum Technology, 2013. 6(01): p. 20-22
  11. Özyuğuran, A., S.Yaman, and Küçükbayrak,S., Prediction of calorific value of biomass based on elemental analysis. International Advanced Researches and Engineering Journal. 2018; 2(3): p. 254-260
  12. Hashemi, A., L. Nicolas, and C. Gringarten, Well test analysis of horizontal wells in gas-condensate reservoirs. SPE Res Eval & Eng, 2006. 9(01): p. 86–99, SPE 89905-PA
  13. Wu, M., H. Liang, M. Zhang, D. Sun, and P. Zhong, Productivity testing design method of multi-factor control for unconsolidated sandstone gas reservoir. Engineering, 2016. 8(11): p. 815-822
  14. Bakyani, A., A. Rasti, S. Qazvini, and F. Esmaeilzadeh, Gas condensate wells simulation to optimize well flow performance using tubing equations coupled with ınflow-performance-relation (IPR) curve. Open Access Library Journal, 2018. 5(5): p. 1-17
  15. Igwilo, K., E. Okoro, A. Nwude, A. Mamudu, and C. Onuh, A review on gas well optimization using production performance models:A case study of horizontal well. Open Journal of Yangtze Oil and